Quick Answer
The answer is Azure Monitor, as it is the dedicated service for tracking platform-level metrics like requests per minute for Azure AI Language endpoints. This metric is automatically collected by Azure Monitor without any additional instrumentation, capturing the total number of API calls sent to your sentiment analysis endpoint and surfacing it under the “Requests” metric in the Azure portal. On the AI-102 exam, this question tests your understanding of the distinction between monitoring services—Azure Monitor handles infrastructure and platform metrics, while Azure AI Language’s own “Monitor” tab simply visualizes these same metrics. A common trap is to confuse Azure Monitor with Azure Log Analytics or Application Insights; remember that Log Analytics is for querying log data, not pre-collected metrics, and Application Insights is for application-level telemetry. For a quick memory tip, think “Monitor for metrics, Logs for logs”—Azure Monitor is your go-to for out-of-the-box request rate tracking without any setup.
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are using Azure AI Language to perform sentiment analysis on customer feedback. You need to monitor the number of requests sent to the endpoint per minute. Which Azure service should you use?
Azure Monitor
Azure Monitor collects and analyzes metrics like requests per minute.
Azure Cost Management
Why wrong: Azure Cost Management tracks costs, not request metrics.
Azure Advisor
Why wrong: Azure Advisor provides recommendations, not real-time monitoring.
Azure Log Analytics
Why wrong: Azure Log Analytics is part of Azure Monitor but is used for log queries; the primary service for metrics is Azure Monitor.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Monitor
Azure Monitor is the correct service because it provides platform metrics, including the 'Requests Per Minute' metric for Azure AI Language endpoints. This metric is automatically collected and can be viewed in the Azure portal, set up alerts on, or queried via the Azure Monitor REST API. It directly answers the need to monitor request rate without additional configuration.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Monitor
Why this is correct
Azure Monitor collects and analyzes metrics like requests per minute.
Related concept
Read the scenario before looking for a memorised answer.
Azure Cost Management
Why it's wrong here
Azure Cost Management tracks costs, not request metrics.
Azure Advisor
Why it's wrong here
Azure Advisor provides recommendations, not real-time monitoring.
Azure Log Analytics
Why it's wrong here
Azure Log Analytics is part of Azure Monitor but is used for log queries; the primary service for metrics is Azure Monitor.
Common exam traps
The trap here is that candidates often confuse Azure Monitor with Azure Log Analytics, assuming that all monitoring requires log ingestion, when in fact Azure Monitor provides built-in metrics without the need for logging or additional costs.
Detailed technical explanation
Azure Monitor collects platform metrics at a 1-minute granularity for Azure AI Language endpoints, stored for 93 days by default. These metrics can be visualized in Metrics Explorer, used in alert rules with dynamic thresholds, or exported to a Log Analytics workspace for advanced correlation with diagnostic logs. The specific metric for request count is 'TotalRequests' under the 'Cognitive Services' namespace, which can be filtered by API name and region.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Plan and manage an Azure AI solution — study guide chapter
Learn the concepts, then practise the questions
Plan and manage an Azure AI solution practice questions
Targeted practice on this topic area only
All AI-102 questions
988 questions across all exam domains
Microsoft Azure AI Engineer Associate AI-102 study guide
Full concept coverage aligned to exam objectives
AI-102 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-102 questions linked to Implement an agentic solution.
Practise AI-102 questions linked to Implement computer vision solutions.
Practise AI-102 questions linked to Implement knowledge mining and information extraction solutions.
Practise AI-102 questions linked to Implement image and video processing solutions.
Practise AI-102 questions linked to Implement natural language processing solutions.
Practise AI-102 questions linked to Implement generative AI solutions.
Practise AI-102 questions linked to Implement agentic AI solutions.
Practise AI-102 questions linked to Implement knowledge mining and document intelligence solutions.
Practise AI-102 questions linked to Plan and manage an Azure AI solution.
Practise AI-102 questions linked to Implement content moderation solutions.
Practise AI-102 questions linked to AI-102 fundamentals.
Practise AI-102 questions linked to AI-102 scenario.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Monitor — Azure Monitor is the correct service because it provides platform metrics, including the 'Requests Per Minute' metric for Azure AI Language endpoints. This metric is automatically collected and can be viewed in the Azure portal, set up alerts on, or queried via the Azure Monitor REST API. It directly answers the need to monitor request rate without additional configuration.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jun 24, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.